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The paper presents a field-programmable gate array (FPGA) based model for measurement of electroencephalography (EEG) signal. The novelty of this system is implementation of digital stochastic block based on stochastic analog-to-digital (A/D) conversion and accumulation, with a novel hardware structure tailored for harmonic measurements. Metrologically verified stochastic measurement EEG system measured...
Assisting physicians in the auscultation of the patients by providing cost effective, automatic and accurate signal processing module for the heart event detection and recognition is of importance. We suggest that the segmentation of time-frequency representation image of one-dimensional phonocardiogram signals (PCGs) could be effective for observing possible abnormal heart events. The fact that frequency...
Accurate spleen segmentation in abdominal MRI images is one of the most important steps for computer aided spleen pathology diagnosis. The first and essential step for the diagnosis is the automatic spleen segmentation that is still an open problem. In this paper, we have proposed a new automatic algorithm for spleen area extraction in abdominal MRI images. The algorithm is fully automatic and contains...
The efficiency of a human face recognition system depends on the capability of face recognition in presence of different changes in the appearance of face. One of the main difficulties regarding the face recognition systems is to recognize face in different views and poses. In this paper we propose a new algorithm which utilizes the combination of texture and depth information to overcome the problem...
This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow...
The recognition of handwritten characters and digits is an important and challenging issue in OCR algorithms. This article presents a new method in which cluster based weighted support vector machine is used for the classification and recognition of Farsi handwritten digits that is reasonably robust against rotation and scaling. In the proposed algorithm, after applying the necessary preprocessing...
Script recognition is a necessary process before OCR algorithm in multilingual systems. In this paper, a novel method is proposed for identifying Farsi and Latin scripts in bilingual document using curvature scale space features. The proposed features are rotation and scale invariant and can be used to identify scripts with different fonts. We assumed that the bilingual scripts may have Farsi and...
In the paper a new approach to a design of fuzzy controllers is proposed, based on an automatic selection of membership functions shapes. The automatization is achieved by optimization using a genetic algorithm relative to a chosen system performance criterion. The software system for fuzzy control of the cart-ball system is also described. The described system is developed in such a way that modules...
This paper presents a method to automatically process the education quality assessment quiz test. The propose technique use Pattern Recognition methodology and the final decision is taken using a MLP neural network. The Xj subject's answers are numerically encoded in a descriptor vector VXj. This vector is fed to the net and it decides the Xj's degree of satisfaction or dissatisfaction over the most...
A fundamental challenge in today's arena of complex systems is the design and development of accurate and robust signal processing methods. These methods should be capable to adapt quickly to unexpected changes in the data and operate under minimal model assumptions. Systems in Nature also do signal processing and often do it optimally. Therefore, it makes much sense to understand what Nature does...
The paper presents an image-oriented description of artificial and biological nanostructured surfaces, with applicability to the functional characterization of atom neighborhoods at the surface of proteins. The property which is considered is the hydrophobicity around each surface atom. The actual hydrophobicity distribution on the atoms that form an atom's vicinity is replaced by an equivalent hydrophobicity...
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